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FedDec: Peer-to-peer Aided Federated Learning
14 pages, 6 figures in png or pdf ...
Costantini, Marina +2 more
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The Faculty Conversation Series at North Carolina State University, offered by the Office for Faculty Excellence, is a virtual option to connect faculty across campus to discuss topics immediately relevant to the unique teaching needs that
DIane D Chapman, Maria Gallardo-Williams
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Peer learning is gaining momentum as an educational model suitable for university students. This study investigates the characteristics of the participation in peer-assisted learning groups (PALG) for students in Harbin-China, and compares them to their ...
Oluwafolakemi Grace Ala +2 more
doaj +1 more source
Synchronous online learning via technology has become a major trend in institutions of higher education, allowing students to learn from video lectures alongside their peers online.
Zhongling Pi +3 more
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P2P4L2L (Peer to Peer for Learning to Learn)
Memòria del projecte P2P4L2L (Peer to Peer for Learning to Learn) 2016PID-UB / 024 llevado a cabo entre 2016 i 2018 sobre el disseny i desenvolupament de pràctiques d'avaluació entre iguals per desenvolupar la competència d'aprendre a aprendre.
Cano García, Elena +7 more
openaire +1 more source
MAPL: Model Agnostic Peer-to-peer Learning
Effective collaboration among heterogeneous clients in a decentralized setting is a rather unexplored avenue in the literature. To structurally address this, we introduce Model Agnostic Peer-to-peer Learning (coined as MAPL) a novel approach to simultaneously learn heterogeneous personalized models as well as a collaboration graph through peer-to-peer ...
Sayak Mukherjee +2 more
openaire +2 more sources
FedCoin: A Peer-to-Peer Payment System for Federated Learning [PDF]
Federated learning (FL) is an emerging collaborative machine learning method to train models on distributed datasets with privacy concerns. To properly incentivize data owners to contribute their efforts, Shapley Value (SV) is often adopted to fairly assess their contribution. However, the calculation of SV is time-consuming and computationally costly.
Yuan Liu 0002 +5 more
openaire +3 more sources
The increasing adoption of renewable energy resources and the growing need for efficient and adaptable energy management have emphasized the importance of innovative solutions for energy sharing and storage.
Andrés Martínez, Paul Arévalo
doaj +1 more source
Personalized and Private Peer-to-Peer Machine Learning
The rise of connected personal devices together with privacy concerns call for machine learning algorithms capable of leveraging the data of a large number of agents to learn personalized models under strong privacy requirements. In this paper, we introduce an efficient algorithm to address the above problem in a fully decentralized (peer-to-peer) and ...
Bellet, Aurélien +3 more
openaire +6 more sources
Peer-to-Peer Federated Learning: A Comprehensive Survey
The last five years have seen considerable growth in the topic of peer-to-peer (P2P) federated learning (FL). This framework removes the central coordinating server used in conventional federated learning and instead requires participating nodes to ...
Ashley Allen +3 more
doaj +1 more source

